https://chayanchatterjee.com/tag/scientific-ai/Scientific AIWowchemy (https://wowchemy.com)en-usFri, 10 Jul 2026 00:00:00 +0000https://chayanchatterjee.com/media/icon_hu893f8f5c2fd565b3b8f53fe35f6c2a2b_550131_512x512_fill_lanczos_center_3.pnghttps://chayanchatterjee.com/tag/scientific-ai/https://chayanchatterjee.com/project/multimessenger_ai/Fri, 10 Jul 2026 00:00:00 +0000https://chayanchatterjee.com/project/multimessenger_ai/<p>This project explores the convergence of multimessenger astronomy and frontier AI. Next-generation observatories will transform rare cosmic events into large, heterogeneous data streams spanning gravitational waves, electromagnetic radiation, neutrinos and cosmic rays. These datasets are scientifically rich because they are governed by known physical laws, tested across independent messengers and shaped by well-characterized instrumental effects.</p> <p>The central idea is two-way: AI can help multimessenger astronomy coordinate observations, accelerate inference, classify sources and identify anomalies, while multimessenger astronomy can provide a rigorous testbed for AI systems that must reason with physical constraints, calibrated uncertainty and simulation-to-observation mismatch.</p> <p>Related papers:</p> <ol> <li><a href="https://www.nature.com/articles/s41550-026-02910-w" target="_blank" rel="noopener">Petulante, Chatterjee et al. 2026, Nature Astronomy</a></li> <li><a href="https://arxiv.org/abs/2412.20789" target="_blank" rel="noopener">Chatterjee et al. 2024, arXiv</a></li> </ol>